Data Analyst Salary in United Kingdom during 2022

Salary details

The average Data Analyst salary lies between USD 49,253 and USD 86,193 in the United Kingdom. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 2024

Salary trend

Top 20 Job Tags for Data Analyst roles

The three most common job tag items assiciated with Data Analyst job listings are SQL, Python and Tableau. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:

SQL | 2403 jobs Python | 1740 jobs Tableau | 1508 jobs Engineering | 1195 jobs Statistics | 1194 jobs Data analysis | 1057 jobs R | 1015 jobs Excel | 997 jobs Data Analytics | 851 jobs Finance | 811 jobs Data visualization | 782 jobs Power BI | 737 jobs Looker | 724 jobs Computer Science | 724 jobs Research | 692 jobs Mathematics | 656 jobs Business Intelligence | 624 jobs Machine Learning | 594 jobs Testing | 562 jobs KPIs | 520 jobs

Top 20 Job Perks/Benefits for Data Analyst roles

The three most common job benefits and perks assiciated with Data Analyst job listings are Career development, Health care and Startup environment. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Career development | 1686 jobs Health care | 983 jobs Startup environment | 976 jobs Flex hours | 829 jobs Team events | 731 jobs Flex vacation | 588 jobs Competitive pay | 588 jobs Equity / stock options | 481 jobs Parental leave | 458 jobs Insurance | 417 jobs Salary bonus | 363 jobs Medical leave | 283 jobs Wellness | 273 jobs 401(k) matching | 261 jobs Home office stipend | 220 jobs Unlimited paid time off | 184 jobs Fitness / gym | 160 jobs Gear | 104 jobs Relocation support | 103 jobs Conferences | 76 jobs

Salary Composition

In the United Kingdom, the salary composition for a Data Analyst in AI/ML/Data Science typically includes a fixed base salary, which forms the bulk of the compensation package. This base salary can vary significantly depending on the region, industry, and company size. For instance, positions in London or within the finance and tech industries often offer higher base salaries compared to other regions or sectors. In addition to the base salary, many companies offer performance-based bonuses, which can range from 5% to 20% of the base salary. Larger companies or those in competitive industries might also provide additional remuneration such as stock options, profit-sharing, or other incentives to attract and retain talent.

Steps to Increase Salary

To increase your salary from a Data Analyst position, consider the following strategies:

• Skill Enhancement: Acquire advanced skills in machine learning, data engineering, or data visualization tools. Proficiency in programming languages like Python or R, and experience with big data technologies such as Hadoop or Spark, can make you more valuable.
• Advanced Education: Pursuing a master's degree or specialized certifications in data science or related fields can open up higher-paying opportunities.
• Networking: Engage with professional networks and attend industry conferences to learn about new opportunities and trends.
• Performance and Negotiation: Consistently demonstrate high performance and be prepared to negotiate your salary during performance reviews or when taking on additional responsibilities.

Educational Requirements

Most Data Analyst positions in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Mathematics, Statistics, or Engineering. Some roles, especially those in more technical or specialized areas, may prefer candidates with a master's degree or even a Ph.D. in Data Science, Machine Learning, or a related discipline.

Helpful Certifications

Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• IBM Data Science Professional Certificate
• Certified Analytics Professional (CAP)
• SAS Certified Data Scientist

These certifications can help you stand out in a competitive job market and may lead to higher salary offers.

Experience Requirements

Typically, entry-level Data Analyst positions require 1-3 years of experience in data analysis or a related field. However, for more advanced roles, employers often look for candidates with 3-5 years of experience, including hands-on experience with data modeling, machine learning algorithms, and data visualization tools. Experience in a specific industry can also be advantageous, as it provides context and understanding of industry-specific data challenges.

Related salaries

Want to contribute?